An online tutoring system with instant responses

2011 ◽  
Author(s):  
Dan Lo ◽  
Larry Wang
Keyword(s):  
Tutoring System ◽  
Online Tutoring

scholarly journals Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13895-13896 ◽  
Author(s):  
Shimeng Peng ◽  
Lujie Chen ◽  
Chufan Gao ◽  
Richard Jiarui Tong
Keyword(s):  
Mean Squared Error ◽  
Video Recording ◽  
Vital Role ◽  
Dynamic Features ◽  
Learning Context ◽  
Tutoring System ◽  
Consensus Definition ◽  
Online Tutoring ◽  
Mouth Movement ◽  
Synchronized Measurements

Engaged learners are effective learners. Even though it is widely recognized that engagement plays a vital role in learning effectiveness, engagement remains to be an elusive psychological construct that is yet to find a consensus definition and reliable measurement. In this study, we attempted to discover the plausible operational definitions of engagement within an online learning context. We achieved this goal by first deriving a set of interpretable features on dynamics of eyes, head and mouth movement from facial landmarks extractions of video recording when students interacting with an online tutoring system. We then assessed their predicative value for engagement which was approximated by synchronized measurements from commercial EEG brainwave headset worn by students. Our preliminary results show that those features reduce root mean-squared error by 29% compared with default predictor and we found that the random forest model performs better than a linear regressor.

4MALITY: Coaching Students with Different Problem-Solving Strategies Using an Online Tutoring System

2011 ◽  
pp. 359-364
Author(s):  
Leena Razzaq ◽  
Robert W. Maloy ◽  
Sharon Edwards ◽  
David Marshall ◽  
Ivon Arroyo ◽  
...  
Keyword(s):  
Problem Solving ◽  
Tutoring System ◽  
Online Tutoring ◽  
Problem Solving Strategies

scholarly journals A model to identify mathematics topics in MXit lingo to provide tutors quick access to supporting documentation

Pythagoras ◽  
2011 ◽  
Vol 32 (2) ◽  
Author(s):  
Laurie Butgereit ◽  
Reinhardt A. Botha
Keyword(s):  
University Students ◽  
Mobile Phones ◽  
School Curriculum ◽  
Tutoring System ◽  
Online Tutoring ◽  
Mathematics Homework ◽  
Volunteer Tutors ◽  
To Receive

Dr MathTM is a mobile, online tutoring system where learners can use MXitTM on their mobile phones to receive help with their mathematics homework from volunteer tutors. These conversations between learners and Dr Math are held in MXit lingo. MXit lingo is a heavily abbreviated, English-like language that is evolving between users of mobile phones that communicate using MXit. The Dr Math project has been running since January 2007 and uses volunteer tutors who are mostly university students who readily understand and use MXit lingo. However, due to the large number of simultaneous conversations that the tutors are often involved in and the diversity of topics discussed, it would often be beneficial to provide assistance regarding the mathematics topic to the tutors. This article explains how the μ model identifies the mathematics topic in the conversation. The model identifies appropriate mathematics topics in just over 75% of conversations in a corpus of conversations identified to be about mathematics topics in the school curriculum.

An online tutoring system for language translation

2001 ◽  
Vol 8 (3) ◽  
pp. 46-55 ◽  
Author(s):  
N. Tokuda ◽  
Liang Chen
Keyword(s):  
Language Translation ◽  
Tutoring System ◽  
Online Tutoring
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